Why Transformers Have So Many Layers? LLM Architecture Explained | AI made simple |Beginner friendly

Why do models like GPT, BERT, and modern Large Language Models have dozens of layers? If one Transformer block already works, why stack 24, 48, or even 96 layers? In this episode of the AI for Beginners series, we explore the concept of Multi-Layer Stacking in Transformers and why depth is essential for intelligence in modern AI systems. You’ll learn how language models gradually build understanding as information flows through deeper layers — starting from simple patterns and moving toward meaningful concepts. We break down: • Why a single Transformer layer is not enough • How progressive…